Two Papers on FOT-NET Data work to be presented at TRA 2016

FOT-Net Data will be presented at the 6th European Transport Research Conference which will take place from 18 to 21 April in Warsaw, Poland. The theme of this year’s conference is “Innovative Solutions for Tomorrow’s Mobility”.

Two papers by FOT-Net Data partners have been accepted: Methodology for field operational tests of automated vehicles and Data sharing of transport research data. They will be both presented on 19 April at 17:00. Below you will find a short description of the papers; the full papers will be made available in the Library once public.

Methodology for field operational tests of automated vehicles

Authors: Yvonne Barnard (Institute for Transport Studies – University of Leeds and ERTICO – ITS Europe), Satu Innamaa (VTT Technical Research Centre of Finland Ltd), Sami Koskinen (VTT Technical Research Centre of Finland Ltd), Helena Gellerman (SAFER), Erik Svanberg(SAFER), Haibo Chen (Institute for Transport Studies, University of Leeds)

Over the past decade a large number of Field Operational Tests (FOT) have been conducted to test Intelligent Transport Systems (ITS) in real traffic conditions with thousands of drivers. In this paper we discuss the requirements for a methodology that addresses these three types of focus. We investigate how the current FOT methodology may be adapted or may need to be completely changed. Special attention is given to the type of data that is needed for baselines and for answering research and impact questions.

Data sharing of transport research data

Authors: Helena Gellerman (SAFER), Erik Svanberg (SAFER), Yvonne Barnard (ERTICO – ITS Europe)

With the rapid progress of the development of intelligent transport systems over the last 15 years, the need for testing them in the real world and collecting data about their impact became more and more important. There remain challenges to make data sharing possible on a global scale.

This paper describes the content of the DSF with its hands-on recommendations on how to prepare for and perform data sharing of transport research data. It also presents the status of a use case, implementing the DSF into the European project UDRIVE.